Steal My AI Cheat Sheet
AI Prompts for Business
This blog recaps JAST Media’s “Steal My AI Cheat Sheet” webinar, showing how AI is changing product research and helping manufacturers improve AI search visibility.
In Depth Guide · AEO for Construction Materials
How to Get AI to Recommend Your Brand Instead of Your Competitor
This guide breaks down Steal My AI Cheat Sheet, the session JAST Media presented at NAFCD 2026, and explains how construction buyers search, which prompts they use, what product information AI needs, and how brands can build a digital footprint AI can find and trust.
Contractors, specifiers, architects, installers, and purchasing teams increasingly use ChatGPT, Gemini, Copilot, and Perplexity to compare products and find technical answers.
That means your brand is no longer only competing for a place in traditional search results. It is competing to become the recommendation.
Steal My AI Cheat Sheet
The exact prompts contractors, specifiers, and A&D professionals are searching and how to win every one.
The Shift That Is Already Happening
AI Is Moving Product Discovery Earlier in the Buying Process
Buyers in construction materials ask highly technical questions about RH limits, wear layers, ASTM numbers, availability, quantities, deadlines, and installation conditions.
A single order may involve specifiers, contractors, installers, purchasing teams, owners, and facility managers, and each person approaches the same product from a different angle.
Comparison and specification research increasingly begin with an AI assistant instead of a traditional search bar.
Download the DeckWhy You Care
What Is Actually at Stake
Product decisions can begin before a buyer visits your ordering site or speaks with a sales representative.
Whether your brand makes the shortlist before a sales representative ever receives a call.
Whether the specification is written around your product or a competing product.
Whether AI directs installers to your technical documentation or another brand’s documentation.
Whether buyer and installer sentiment across forums, reviews, and industry discussions supports your brand.
Search Intent
Your Buyers Do Not All Search the Same Way
One product can generate very different questions because each buyer filters the same technical information through a different role and project need.
Contractors
Contractors want to know whether the product is available now and where they can get it.
Installers
Installers need to know whether the product will perform under specific jobsite conditions.
Architects
Architects want to confirm whether a product meets the requirements of the project.
Designers
Designers search for available options, finishes, aesthetics, and product alternatives.
Specifiers
Specifiers need documentation that supports technical and compliance requirements.
Purchasing
Purchasing teams care about cost, quantity, availability, and delivery timing.
Facility Managers
Facility managers want to understand durability, maintenance needs, and repair requirements.
The Five Categories
Winnable Prompt Categories
These categories have one thing in common because the strongest answers depend on clear, structured, current product information that AI can access and verify.
Comparison
Buyers compare products based on performance, cost, lifecycle, and technical suitability.
Compliance
Buyers ask whether products meet codes, certifications, environmental standards, and specification requirements.
Sourcing
Buyers want to know who stocks a product, where it is available, how quickly it can ship, and what quantity is available.
Installation
Installers search for substrates, conditions, coverage, timing, sequence, working time, and installation limits.
Reputation
Buyers look for delivery reliability, technical support, claims information, reviews, and real world track record.
AI frequently directs buyers toward the brand with the strongest documentation even when the buyer never asked for a brand recommendation.
How AI Reads You
Why Most Brands Get Left Out
The problem is often not product quality. The problem is information format because technical facts frequently live inside flyers, scanned PDFs, images, or marketing copy where AI cannot confirm them with confidence.
Structured
| Field | Value |
|---|---|
| Wear Layer | 20 mil |
| Max Slab RH | 90% ASTM F2170 |
| Substrates | Concrete, gypcrete, VCT |
| Availability | In stock, ships in 3 days |
Unstructured
Inside the Data
What Product Schema Actually Requires
Product information needs clear labels in the page code so AI can read defined values instead of interpreting general marketing language.
Core Identity Fields
Name, brand, SKU, description, image, and URL help search engines and AI systems reliably identify a product.
Comparison Fields
Manufacturer, MPN, GTIN, category, material, size, country of origin, certification, sameAs, and isSimilarTo improve comparison and substitution context.
additionalProperty
AdditionalProperty can communicate RH limits, pH limits, ASTM results, coverage, open time, and other technical attributes.
Sitemap
A machine readable index helps search platforms discover the important pages on your site.
llms.txt
A plain text resource can help AI systems understand important site content and brand context.
Product Schema
Structured markup connects important product information directly to the page code.
Beyond Your Website
Build a Footprint AI Can Cross Check
AI evaluates more than your website because it compares information across multiple environments, so consistent product facts and expert signals help strengthen confidence in your brand.
Technical conversations can provide real world context around products and installation.
Named company experts can strengthen subject authority by discussing relevant technical topics.
Trade Forums
Industry discussions provide additional context around product decisions and installation concerns.
Directories
Association listings, certifications, and business citations support brand verification.
Reviews
Review platforms can contribute reputation signals around service, reliability, and customer experience.
Who Is Winning
Measuring What Is Actually Working
Search volume shows only part of AI driven demand because public AI activity may be visible while enterprise accounts, internal workflows, and direct API activity can remain outside traditional reporting.
SEMrush
Compare prompt visibility against competitors alongside traditional organic search demand.
Otterly.ai
Track whether AI tools mention and cite your company across relevant prompts.
Native Platforms
Google Search Console and Bing Webmaster Tools provide useful search visibility signals connected with Google and Bing environments.
How We Help
How JAST Media Helps Construction Materials Brands
JAST Media helps turn scattered product information into structured data AI can read, compare, and cite while strengthening brand consistency in the environments AI already uses as evidence.
Structured Product Data
Product information is organized around the attributes buyers actually use to evaluate and compare products.
Technical SEO Foundations
Sitemap, llms.txt, schema markup, crawlable content, and technical data create a stronger information foundation.
AI Visibility
Product comparisons, availability information, offsite authority, and AI measurement help strengthen discovery.
Book a 1 to 1 Strategy Call
JAST Media helps construction materials brands strengthen structured product data, schema, technical content, and offsite authority so AI systems can better understand, cite, and recommend their products.
STRATEGY THAT SHAPES WHAT’S NEXT
FROM YUKI CONLON
Explore Yuki Conlon’s perspective on growth strategy, market positioning, customer behavior, leadership, and the decisions that help construction brands compete more effectively.
